Identification and Measurement of Illicit Drugs and Their Metabolites in

Nov 17, 2006 - Specific analytical methods have been set up for their measurement in urine, sweat,3-6 blood,7 saliva,8,9 and hair.10 Gas chromatograph...
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Anal. Chem. 2006, 78, 8421-8429

Identification and Measurement of Illicit Drugs and Their Metabolites in Urban Wastewater by Liquid Chromatography-Tandem Mass Spectrometry Sara Castiglioni,*,†,‡ Ettore Zuccato,† Elisabetta Crisci,† Chiara Chiabrando,† Roberto Fanelli,† and Renzo Bagnati†

Department of Environmental Health Sciences, Mario Negri Institute for Pharmacological Research, Via Eritrea 62, 20157 Milan, Italy, and Department of Biotechnology and Molecular Sciences, University of Insubria, Via J.H. Dunant 3, 21100 Varese, Italy

Residues of illicit drugs and their metabolites that are excreted by humans may flow into and through wastewater treatment plants. The aim of this study was to develop a method for the determination of cocaine, amphetamines, morphine, cannabinoids, methadone, and some of their metabolites in wastewater. Composite 24-h samples from urban treatment plants were enriched with deuterated internal standards before solid-phase extraction. Highpressure liquid chromatography tandem mass spectrometry with multiple reaction monitoring was used for quantitation. Recoveries were generally higher than 80%, and limits of quantifications were in the low nanogramsper-liter range for untreated and treated wastewater. The overall variability of the method was lower than 10% for untreated and 5% for treated wastewater. The method was applied to wastewater samples coming from two treatment plants in Italy and Switzerland. Quantification ranges were found to be 0.2-1 µg/L for cocaine and its metabolite benzoylecgonine, 80-200 ng/L for morphine, 10 ng/L for 6-acetylmorphine, 60-90 ng/L for 11-nor-9-carboxy∆9-tetrahydrocannabinol, 10-90 ng/L for methadone and its main metabolite 2-ethylidene-1,5-dimethyl-3,3diphenylpyrrolidine, and lower than 20 ng/L for amphetamines. As previously reported for cocaine, this method could be useful to estimate and monitor drug consumption in the population in real time, helping social scientists and authorities to combat drug abuse. The use of illicit drugs is increasing worldwide, and millions of individuals are reported to be current users of cocaine, heroin, amphetamine-like stimulants, marijuana, and other drugs, with significant consequences for human health and social behavior.1 Several methods have been developed to diagnose illicit drug consumption in clinical and forensic toxicology and to test for doping.2 Different matrixes have been tested for markers of drug * To whom correspondence should be addressed. Phone: +39 02 39014499. Fax: +39 02 39001916. E-mail: [email protected]. † Mario Negri Institute for Pharmacological Research. ‡ University of Insubria. (1) Cone, E. J. Forensic Sci. Int. 2001, 121, 7-15. (2) Brettell, T. A.; Butler, J. M.; Saferstein, R. Anal. Chem. 2005, 77, 38393860. 10.1021/ac061095b CCC: $33.50 Published on Web 11/17/2006

© 2006 American Chemical Society

abuse.3 Solid phase (SPE)4 and headspace solid-phase dynamic5 methods have been used to extract residues and metabolites of illicit drugs from biological fluids and hair. Specific analytical methods have been set up for their measurement in urine, sweat,3-6 blood,7 saliva,8,9 and hair.10 Gas chromatography-mass spectrometry (GC/MS)11 and liquid chromatography-mass spectrometry (LC-MS)12 are the techniques of choice for quantitative analysis. GC/MS with electron impact or positive ion chemical ionization and MS-MS fragmentation13,14 has been used to analyze simultaneously up to 30 different illicit drugs in oral fluids.15,16 Liquid chromatography coupled to atmospheric pressure chemical ionization and tandem mass spectrometry (LC-APCI-MSMS)17-20 has been used to measure amphetamines, opioids, cocaine and metabolites, methadone, and hypnotics. Despite the availability of these analytical tools, there are still difficulties in estimating the real magnitude of illicit drug con(3) Wolff, K.; Farrell, M.; Marsden, J.; Monteiro, M. G.; Ali, R.; Welch, S.; Strang, J. Addiction 1999, 94, 1279-1298. (4) Soriano, T.; Jurado, C.; Menendez, M.; Repetto, M. J. Anal. Toxicol. 2001, 25, 137-143. (5) Lachenmeier, D. W.; Kroener, L.; Musshoff, F.; Madea, B. Rapid Commun. Mass Spectrom. 2003, 17, 472-478. (6) Preston, K. L.; Huestis, M. A.; Wong, C. J.; Umbricht, A.; Goldberger, B. A.; Cone, E. J. J. Anal. Toxicol. 1999, 23, 313-322. (7) Moeller, M. R.; Steinmeyer, S.; Kraemer, T. J. Chromatogr., B 1998, 713, 91-109. (8) Toennes, S. W.; Steinmeyer, S.; Maurer, H. J.; Moeller, M. R.; Kauert, G. F. J. Anal. Toxicol. 2005, 29, 22-27. (9) Wylie, F. M.; Torrance, H.; Anderson, R. A.; Oliver, J. S. Forensic Sci. Int. 2005, 150, 191-198. (10) Welch, M. J.; Sniegoski, L. T.; Tai. S. Anal. Bioanal. Chem. 2003, 376, 1205-1211. (11) Maurer, H. H. J. Chromatogr. 1992, 580, 3-41. (12) Maurer, H. H. J. Chromatogr., B 1998, 713, 3-25. (13) Strano-Rossi, S.; Molaioni, F.; Rossi, F.; Botre, F. Rapid Commun. Mass Spectrom. 2005, 19, 1529-1535. (14) Bourland, J. A.; Hayes, E. F.; Kelly, R. C.; Sweeney, S. A.; Hatab, M. M. J. Anal. Toxicol. 2000, 24, 489-595. (15) Gunnar, T.; Ariniemi, K.; Lillsunde, P. J. Mass Spectrom. 2005, 40, 739753. (16) Vorce, S. P.; Sklerov, J. H.; Kalasinsky, K. S. J. Anal. Toxicol. 2000, 24, 595-601. (17) Bogusz, M. J.; Kruger, K. D.; Maier, R. D. J. Anal. Toxicol. 2000, 24, 7784. (18) Nordgren, H. K.; Beck, O. Ther. Drug Monit. 2004, 26, 90-97. (19) Dams, R.; Murphy, C. M.; Choo, R. E.; Lambert, W. E.; De Leenheer, A. P.; Huestis, M. A. Anal. Chem. 2003, 75, 798-804. (20) Dams, R.; Murphy, C. M.; Lambert, W. E.; Huestis, M. A. Rapid Commun. Mass Spectrom. 2003, 17, 1665-1670.

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Figure 1. Structures and molecular weights of illicit drugs and their metabolites.

sumption in the population. Specific analysis of biological fluids may discover drug consumption by individuals, but estimates for a community are based on indirect methods, such as population surveys, crime statistics, and consumer interviews,21,22 which might be unreliable. A first study to estimate cocaine consumption directly in the community was recently published by our group.23 Levels of (21) Ministero del Lavoro e delle Politiche Sociali; Italy Drug Situation 2001; Report to the EMCDDA by the Reitox National Focal Point; www.emcdda.eu.int/index.cfm?fuseaction)public.AttachmentDownload& nNodeID)1240&slanguageISO)EN, accessed April 2005. (22) European Monitoring Centre for Drugs and Drug Addiction; The state of the Drug Problem in the European Union and Norway; Annual Report 2003; Lisbon: EMCDDA, 2004; http://annualreport.emcdda.eu.int/en/homeen.html, accessed April 2005. (23) Zuccato, E.; Chiabrando, C.; Castiglioni, S.; Calamari, D.; Bagnati, R.; Schiarea, S.; Fanelli, R. Environ. Health 2005, 4, 14.

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cocaine and its metabolite benzoylecgonine in surface and wastewater were used to calculate environmental loads and to estimate cocaine consumption in different communities. This paper received worldwide media coverage and appreciation from the scientific press,24,25 suggesting widespread interest in this novel approach. We have now applied our analytical method to other illicit drugs, such as amphetamines, morphine, cannabinoids, and methadone. Residues and metabolites were measured in wastewater from treatment plants in Milan, Italy, and in Lugano, Switzerland. The analytical method is derived from a previous method developed by our group to measure human and veterinary (24) Khamsi, R. [email protected], 2005; http://www.nature.com/news/2005/ 050801/full/050801-12.html, accessed August 2005. (25) Ross, K. Anal. Chem. 2006, 78, 13.

Table 1. Analytical Grouping of the Substances Under Analysis, with the Instrumental Conditions and Chromatographic Retention Times group

substance

retention time (min)

HPLC method

MS method

amphetamines

amphetamine amphetamine-d6 methamphetamine methamphetamine-d9 MDA MDA-d5 MDMA MDMA-d5 MDEA MDEA-d5

9.15 9.12 9.79 9.72 9.94 9.90 10.44 10.40 11.26 11.24

column, XTerra MS C18, 100 × 2.1 mm, 3.5 µm; flow, 200 µL/min, injection loop 20 µL; solvent A, acetic acid 0.05% in water; solvent B, acetonitrile; gradient, from 0 to 24% of B in 14 min, then to 100% B in 2 min (2-min hold) and to 0% B in 2 min (8-min hold for reequilibration).

positive ion IonSpray-MRM (Table 2)

cocaine and metabolites

cocaine cocaine-d3 norcocaine norcocaine-d3 cocaethylene cocaethylene-d8 benzoylecgonine benzoylecgonine-d3 norbenzoylecgonine

14.93 14.90 15.49 15.46 16.98 16.92 14.33 14.30 14.05

same conditions as amphetamines, except gradient from 0 to 30% of B in 18 min, then to 100% B in 2 min (2-min hold) and to 0% B in 2 min (8-min hold for reequilibration)

positive ion IonSpray-MRM (Table 2)

morphine and metabolites, methadone and metabolites

morphine morphine-d3 morphine-3β-D-glucuronide morphine-3β-D-glucuronide-d3 6-acetylmorphine 6-acetylmorphine-d6 methadone metadone-d3 EDDP EDDP-d3

7.41 7.39 7.32 7.31 10.90 10.86 20.86 20.84 19.15 19.12

same conditions as amphetamines, except gradient from 0 to 40% of B in 22 min, then to 100% B in 2 min (2-min hold) and to 0% B in 2 min (8-min hold for reequilibration)

positive ion IonSpray-MRM (Table 2)

∆9-tetrahydrocannabinol metabolites

11-nor-9-carboxy-∆9-THC 11-nor-9-carboxy-∆9-THC-d3

10.60 10.58

same conditions as amphetamines, except solvent A, triethylamine 0.05% in water; gradient from 0 to 45% B in 12 min, then to 100% B in 2 min (2-min hold) and to 0% B in 2 min (8-min hold for reequilibration).

negative ion IonSpray-MRM (Table 2)

pharmaceuticals in surface and wastewater26,27 and is based on SPE and high-pressure liquid chromatography tandem mass spectrometry (HPLC-MS-MS). This is the first application of LC-MS-MS methods to the simultaneous analysis of a wide variety of illicit drugs in wastewater. Methamphetamine, MDMA, and cocaine have been detected previously in treated wastewater,28 raw wastewater, and rivers.23 As previously proposed,29 this approach might be useful for estimating and monitoring drug consumption in the population in real time, thus providing a new tool to challenge and combat drug abuse. EXPERIMENTAL SECTION Chemicals and Materials. Illicit drugs and metabolites analyzed were the following: cocaine and its metabolites benzoylecgonine, norbenzoylecgonine, norcocaine, and cocaethylene; (26) Calamari, D.; Zuccato, E.; Castiglioni, S.; Bagnati, R.; Fanelli, R. Environ. Sci. Technol. 2003, 37, 1241-1248. (27) Castiglioni, S.; Bagnati, R.; Fanelli, R.; Calamari, D.; Zuccato, E. J. Chromatogr., A 2005, 1092, 206-215. (28) Jones-Leep, T. L.; Alvarez, D. A.; Petty, J. D.; Huckins, J. N. Arch. Environ. Contam. Toxicol. 2004, 47, 427-439. (29) Daughton, C. G. In Pharmaceuticals and Personal Care Products in the Environment: Scientific and Regulatory Issue; Daughton, C. G., Jones-Lepp, T., Eds; American Chemical Society: Washington, DC, 2001, pp 348-364; http://epa.gov/nerlesd1/chemistry/pharma/book-conclude.htm, accessed September 2004.

amphetamine, methamphetamine, 3,4-methylenedioxyamphetamine (MDA), 3,4-methylenedioxymethamphetamine (MDMA, or ecstasy), and 3,4-methylenedioxyethamphetamine (MDEA); morphine, morphine-3β-D-glucuronide, 6-acetylmorphine (a metabolite of heroin); 11-nor-9-carboxy-∆9-tetrahydrocannabinol (11-nor-9carboxy-∆9-THC), the main metabolite of ∆9-tetrahydrocannabinol; and methadone and its main metabolite, 2-ethylidene-1,5dimethyl-3,3-diphenylpyrrolidine(EDDP).Theirmolecularstructures are shown in Figure 1. The following deuterated molecules were used as internal standards (IS): cocaine-d3, benzoylecgonine-d3, norcocaine-d3, cocaethylene-d8, amphetamine-d6, methamphetamine-d9, MDA-d5, MDMA-d5, MDEA-d5, morphine-d3, morphine-3β-D-glucuronide-d3, 6-acetylmorphine-d6, methadone-d3, EDDP-d3, and 11-nor-9-carboxy-∆9-THC-d3. Reference standards of amphetamine, methamphetamine, amphetamine-d6, and methamphetamine-d9 were acquired from Salars SpA (Como, Italy). The other standards were acquired from Cambridge Isotope Laboratories (Andover, MA). The standards, available as solutions in methanol or acetonitrile (1 or 0.1 mg/ mL), were diluted up to 10 ng/µL with methanol and stored at -20 °C in the dark. Working solutions containing all the substances to be analyzed were prepared before each analytical run. Analytical Chemistry, Vol. 78, No. 24, December 15, 2006

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Table 2. Optimum MS Source and Analyzer Conditions for MRM Determination of Illicit Drugs and Their Metabolitesa

substance amphetamine amphetamine-d6 methamphetamine methamphetamine-d9 MDA MDA-d5 MDMA MDMA-d5 MDEA MDEA-d5 cocaine cocaine-d3 norcocaine norcocaine-d3 cocaethylene cocaethylene-d8 benzoylecgonine benzoylecgonine-d3 norbenzoylecgonine morphine morphine-d3 morphine-3β-D-glucuronide morphine-3β-D-glucuronide-d3 6-acetylmorphine 6-acetylmorphine-d6 methadone methadone-d3 EDDP EDDP-d3 11-nor-9-carboxy-∆9-THC 11-nor-9-carboxy-∆9-THC-d3 a

voltage (V) orifice ring 32

150

30

140

26

140

30

140

36

180

40

200

44

240

50

240

44

240

40 56

240 260

56

260

50

260

44

240

50

260

-64

-260

precursor ion (m/z)

product ion I (m/z) and collision energy (eV)

product ion II (m/z) and collision energy (eV)

136.1 142.1 150.1 159.1 180.1 185.1 194.1 199.1 208.1 213.1 304.2 307.2 290.1 293.1 318.2 326.2 290.1 293.1 276.1 286.1 289.1 462.2 465.2 328.2 334.2 310.2 313.2 278.1 281.1 343.1 346.1

119.1 (-14) 125.1 119.1 (-16) 125.1 133.1 (-24) 138.1 133.1 (-30) 135.1 133.1 (-28)

91.05 (-24) 93.05 91.05 (-26) 93.05 105.1 (-20) 110.1 105.1 (-32) 107.1 105.1 (-36)

182.1 (-28) 185.1 168.1 (-24) 171.1 196.1 (-28) 204.1 168.1 (-24) 171.1 154.1 (-24) 201.1 (-36)

105.1 (-42)

286.2 (-40) 289.2 211.1 (-36)

201.1 (-60)

265.1 (-22) 268.1 234.1 (-42)

105.1 (-36)

299.1 (30) 302.1

136.1 (-32) 82.1 (-44) 85.1 105.1 (-42) 136.1 (-30) 165.1 (-54)

165.1 (-50)

186.1 (-48) 189.1 245.1 (40) 248.1

For the deuterated internal standards, only differences from the corresponding unlabeled substances are shown.

Methanol for pesticide analysis and ammonium hydroxide solution RPE (30%) were acquired from Carlo Erba (Italy); acetonitrile for LC-MS, from Riedel de Haen (Seelze, Germany); hydrochloric acid (37%) and triethylamine (TEA), from Merck (Darmstadt, Germany); and acetic acid, from Fluka (Buchs, Switzerland). HPLC grade Milli-Q water was obtained with a MilliRO Plus 90 apparatus (Millipore, Molsheim, France). Cartridges for solid-phase extraction (3-mL disposable Oasis MCX, 60 mg) and the analytical HPLC column (XTerra MS C18, 100 × 2.1 mm, 3.5 µm) were acquired from Waters Corp., Milford, MA. Sample Collection. Samples were collected from two wastewater treatment plants (WWTPs), one in Milan-Nosedo (Italy) and one in Lugano (Switzerland). The Nosedo plant processes wastewater from the central and eastern areas of the city of Milan by means of two sewers; the Lugano plant collects wastewater from the entire metropolitan area. The first plant serves a population of 1 250 000 with a mean flow rate of 380 000 m3/day, the second serves 120 000 people with a mean flow rate of 60 000 m3/day. Both plants treat domestic wastewater primarily and are equipped with pretreatment and primary and secondary treatment facilities, that is, primary settling and activated sludge processes. For each plant, two 24-h composite samples, each obtained by pooling water collected every 20 min by automatic sampling devices, were collected from the influent (untreated) and from the effluent (treated wastewater) every day for eight consecutive days. Samples were collected in dry weather during February and March 2006. Water samples (1-2 L each) were stored in dark 8424

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glass bottles at 4 °C for a maximum of 3 days, then extracted and analyzed. Samples were filtered on a glass microfiber filter GF/A 1.6 µm (Whatman, Kent, U.K.) prior to extraction. Solid-Phase Extraction. Solid-phase extraction of illicit drugs and their metabolites was performed using mixed reversed-phase/ cation-exchange cartridges (Oasis-MCX), similar to a method developed for the analysis of pharmaceuticals in wastewater.27 Briefly, wastewater samples (50 mL) were spiked with 20 ng of each IS and the pH was adjusted to 2.0 with 37% HCl. The Oasis MCX cartridges were conditioned before use by washing with 6 mL of methanol, 3 mL of Milli-Q water, and 3 mL of water acidified to pH 2. Samples were then passed through the cartridges under vacuum at a flow rate of 10 mL/min. Cartridges were vacuumdried for 5 min and eluted with 3 mL of methanol and 3 mL of a 2% ammonia solution in methanol. The eluates were pooled and dried under a nitrogen stream. Liquid Chromatography-Tandem Mass Spectrometry (HPLC-MS-MS). Dried samples were redissolved in 200 µL of Milli-Q water, centrifuged, and transferred into glass vials for instrumental analysis. The HPLC system consisted of two Series 200 pumps and a Series 200 auto sampler (Perkin-Elmer, Norwalk, CT). The MS system was an API 3000 triple quadrupole mass spectrometer equipped with a turbo IonSpray source (Applied Biosystems-Sciex, Thornhill, Ontario, Canada). Substances to be analyzed were divided into four groups to optimize chromatographic separation and to allow mass spectrometric detection of at least two fragment ions for each compound.

Figure 2. CID mass spectra for some of the drugs and metabolites analyzed (positive ions for MDMA, cocaine, morphine, and methadone; negative ions for 11-nor-9-carboxy-∆9-THC). Instrumental conditions are shown in Tables 1 and 2.

The composition of the groups and the relative instrumental conditions are shown in Table 1. The mobile phase was directly introduced into the ion source, which was operated with a turbo ion gas temperature of 350 °C. Mass spectrometric analyses were performed in multiple reaction monitoring (MRM) mode, measuring the fragmentation products of the protonated or deprotonated pseudomolecular ions of each substance and each deuterated analogue (Table 2). The choice of fragmentation products for each analyte and the optimization of collision-induced dissociation (CID) energies and other instrumental parameters were done in continuous-flow mode using standard solutions at concentrations of ∼1 ng/µL. Figure 2 shows example CID spectra for some of the drugs or metabolites that were analyzed.

Quantification and Method Validation. Each compound was quantified by MRM using the two most abundant precursor/ product ion transitions. Retention times were also compared with reference standards to identify the compounds. Each drug was quantified by isotope dilution using its corresponding deuterated analogue as IS (except for norbenzoylecgonine, which was quantified using benzoylecgonine-d3). Six-point calibration curves were generated by injecting standard solutions with different amounts of each substance (0, 2, 6, 20, 60, 200 ng) and a fixed amount of each IS (20 ng). The first point was also used as an instrumental blank. Instrumental detection limits (IDL) and instrumental quantification limits (IQL) were determined by direct injection of increasing amounts of each substance, starting with low picogram Analytical Chemistry, Vol. 78, No. 24, December 15, 2006

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Table 3. Recoveries of Illicit Drugs and Their Metabolites (Mean ( SD), Instrumental Limits of Quantification (IQL) and Whole-Method Limits of Quantification (LOQ) in WWTP Influents and Effluents recovery + SD (%)

LOQ (ng/L)

illicit drug

influent

STP effluent

IQL (pg/ injected)

influent

effluent

benzoylecgonine norbenzoylecgonine cocaine norcocaine cocaethylene morphine 6-acetylmorphine morphine-3β-D-glucuronide amphetamine methamphetamine MDA MDMA MDEA methadone EDDP 11-nor-9-carboxy-∆9-THC

107 ( 8.9 85 ( 4.7 96 ( 4.8 112 ( 6.9 109 ( 4 88 ( 6.6 106 ( 4.5 90 ( 10.5 110 ( 4.5 112 ( 6.5 102 ( 3.3 104 ( 2.3 107 ( 3.7 105 ( 3.1 88 ( 3.2 51 ( 1.3

107 ( 2.3 104 ( 2.5 94 ( 3.6 119 ( 2.0 98 ( 2.3 75 ( 3.4 93 ( 7.6 67 ( 0.1 103 ( 4.2 97 ( 3.4 98 ( 3.1 97 ( 3.2 89 ( 3.3 90 ( 2.0 85 ( 4.3 61 ( 4.0

15 13 18 23 52 250 230 12 380 208 530 278 280 120 103 307

1.98 0.94 1.4 1.92 0.95 3.95 5.3 0.63 5.4 3.7 8.7 6.3 4.19 1.14 1.64 1.75

0.92 0.56 0.99 0.67 0.66 3.2 3.08 0.48 2.8 1.11 2.6 1.74 1.64 0.97 0.6 0.94

quantities of substance. The detection limits (LOD) and quantification limits (LOQ) for the whole method were calculated by spiking wastewater samples with different amounts of the substances: 50 mL of a WWTP influent were spiked with 0.5-5 µg/L and 50 mL of a WWTP effluent with 0.1-0.5 µg/L of each substance, depending on the typical concentrations in such samples. The IDL and LOD were calculated as the concentrations giving peaks for which the signal-to-noise ratio was 3, and IQL and LOQ were calculated as the concentrations giving peaks for which the signalto-noise ratio was 10. The recoveries and the repeatability of the analytical method were tested by analyzing influent and effluent samples (50 mL) in triplicate. Influent samples were spiked with 5 µg/L of benzoylecgonine; 2 µg/L of cocaine, morphine, EDDP, and 11nor-9-carboxy-∆9-THC; and 0.5 µg/L of the other drugs before extraction and with 0.4 µg/L of IS after extraction. Effluent samples were spiked with 0.5 µg/L of benzoylecgonine, cocaine, and morphine and 0.1 µg/L of the other drugs before extraction and with 0.2 µg/L of IS after extraction. Blanks were analyzed throughout the course of these determinations to test for and correct bias. The instrumental repeatability and precision were assessed by triplicate injections of two standard mixtures (0.1 and 1 ng/µL, 5 µL injected). The instrumental variability was measured for wastewater by running three replicates of an extracted sample. The linearity of the calibration curves was tested for concentration ranges that are normally measured in wastewater. Eight pooled solutions with concentrations between 0.1 and 1000 ng of each drug were prepared from standard mixtures in 100 µL of Milli-Q water. The instrumental repeatability was assessed on the calibration curves by injecting the standard solutions (0.1 and 1 ng/µL) three times in the same day and on different days. The intra- and interday correlation factors (r2) were calculated. Stability in Wastewater. The stability of the illicit drugs and their metabolites in wastewater was investigated by analyzing solutions stored in dark glass bottles for 3 days. The stability tests were run in triplicate using influent wastewater under the same conditions in which wastewater samples were normally stored. The samples (50 mL) were spiked with 5 µg/L of benzoylecgonine; 8426 Analytical Chemistry, Vol. 78, No. 24, December 15, 2006

2 µg/L of cocaine, morphine, EDDP, and 11-nor-9-carboxy-∆9THC; and 0.5 µg/L of other drugs and were stored for three days at 4 °C. Another 50-mL sample was used as the control (no drugs added) and processed in the same way. The analyses were carried out immediately after spiking and after 3 days of incubation. Quantitative results were obtained by adding 20 ng of IS before extraction, and the residual amounts of drugs or metabolites were calculated by subtracting the amounts already present in the control sample. RESULTS AND DISCUSSION Solid-Phase Extraction. The recoveries (and standard deviations) obtained by spiking WWTP influents and effluents with various amounts of compounds are listed in Table 3. Extractions were performed with an Oasis MCX, a mixed reversed-phase/ cation exchange cartridge that is stable at low pH. The cartridge can retain all compounds studied here because it has two phases. Recoveries in WWTP influents and effluents did not differ substantially and were generally >80%, except for 11-nor-9-carboxy∆9-THC (51%) in influents and morphine (75%), morphine-3β-Dglucuronide (67%), and 11-nor-9-carboxy-∆9-THC (61%) in effluents. Standard deviations were 10% or lower in influents and generally 5% or lower in effluents. For norbenzoylecgonine and 11-nor-9-carboxy-∆9-THC, recoveries were lower in influents than in effluents, probably because of matrix effects. Liquid Chromatography-Mass Spectrometry. As described above, the substances analyzed were divided into four groups (Table 1) for the purpose of simultaneous analysis based on their chromatographic and ionization characteristics. One group consisted of 11-nor-9-carboxy-∆9-THC and 11-nor-9-carboxy-∆9-THCd3, which were analyzed in the negative ion mode. Three other groups of substances were analyzed in the positive ion mode under chromatographic conditions tailored to optimize separation and sensitivity for each component. The large number of MRM transitions to be monitored (56) would not allow the simultaneous detection of all the substances with a sufficiently short cycle time. Typical chromatograms obtained from the analysis of wastewater are shown in Figure 3.

Figure 3. HPLC-MRM chromatograms of the most abundant illicit drugs and their metabolites in untreated wastewater. Instrumental conditions are shown in Tables 1 and 2.

The use of deuterated analogues for each substance (except for norbenzoylecgonine) was helpful for minimizing the matrix effects that can affect electrospray sources when analyzing real samples. Since the ions of each substance and its corresponding deuterated analogue are chemically equivalent and the retention times differ only minimally, suppression phenomena will affect both in a similar way. Quantification and Method Validation. Table 3 reports IQL and LOQ values for influents and effluents for the substances under analysis. IQLs were lower than 300 pg/injected, except for amphetamine (380 pg/injected) and MDA (530 pg/injected). LOQs for influents were lower than 2 ng/L, except for morphine, 6-acetylmorphine (4 and 5 ng/L, respectively), and amphetamines (3.7-8.7 ng/L). LOQs for effluents were lower than 1 ng/L, except

for morphine, 6-acetylmorphine (3 ng/L), and amphetamines (1.0-2.8 ng/L). A possible reason for the higher LOQ for morphine and 6-acetylmorphine is their extensive fragmentation in the collision cell, which causes dispersion of the ion current across several product ions (Figure 2). A detailed description of the complex fragmentation pattern of morphine and its derivatives can be found in the literature.30,31 11-nor-9-Carboxy-∆9-THC had a relatively high IQL, but the low chemical noise in negative ion analysis resulted in a low LOQ. (30) Raith, K.; Neubert, R.; Poeaknapo, C.; Boettcher, C.; Zenk, M. H.; Schmidt, J. J. Am. Soc. Mass Spectrom. 2003, 14, 1262-1269. (31) Poeaknapo, C.; Fisinger, U.; Zenk, M. H.; Schmidt, J. Phytochemistry 2004, 65, 1413-1420.

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Table 4. Linear Ranges and Interday Correlation Factors of the Calibration Curves, Interday Instrumental Variability Measured on Two Different Standard Mixtures, and Intraday Instrumental Variability Measured in Wastewatera

illicit drug

linearity range, ng/µL

interday correlation factors (r2) ( SD

benzoylecgonine norbenzoylecgonine cocaine norcocaine cocaethylene morphine 6-acetylmorphine morphine-3β-D-glucuronide amphetamine methamphetamine MDA MDMA MDEA methadone EDDP 11-nor-9-carboxy-∆9-THC

0.001-3 0.001-3 0.001-3 0.001-3 0.001-3 0.003-10 0.001-10 0.001-3 0.003-3 0.003-3 0.003-3 0.003-3 0.003-3 0.001-3 0.001-3 0.001-3

0.9998 ( 0.0002 0.9996 ( 0.0005 0.9998 ( 0.0002 0.9995 ( 0.0005 0.9998 ( 0.0003 0.9998 ( 0.0003 0.9997 ( 0.0003 0.9996 ( 0.0004 0.9996 ( 0.0003 0.9997 ( 0.0002 0.9997 ( 0.0003 0.9999 ( 0.0001 0.9999 ( 0.0001 0.9999 ( 0.0001 0.9999 ( 0.0001 0.9999 ( 0.0001

a

interday RSD% 0.1 ng/µL 1 ng/µL 5.14 7.78 4.18 6.86 7.36 9.81 5.08 4.46 9.34 9.46 8.76 4.75 5.66 3.98 5.39 6.62

0.97 0.78 0.91 0.95 0.92 1.35 0.77 0.86 0.60 0.06 0.90 0.98 0.36 1.00 1.06 1.27

intraday RSD% wastewater 3.50 6.56 1.79 8.64 5.95 2.84 4.56 2.16 2.88 2.51 1.44 2.13 2.54 2.24 3.47 5.09

Samples injected in triplicate.

The linearity of the analytical response was tested by using eight pooled standard solutions containing 0.001-10 ng/µL of each substance in Milli-Q water (0.01-100 ng of each substance injected; injection volume, 10 µL) (Table 4). Calibration curves for morphine and 6-acetylmorphine were linear in the whole range tested. The calibration curves for all other substances studied ceased to be linear when sample concentrations exceeded 3 ng/ µL. Concentrations of illicit drugs and metabolites measured in wastewater were within this linearity range. The repeatability of the calibration curves was determined by injecting pooled standard solutions three times during the same day and on different days. The interday correlation factors, r2, of the calibration curves (means and SD) are reported in Table 4. The intraday values were >0.9992 with standard deviations 0.9995 with SDs